python里求解物理学上的双弹簧质能系统

物理的模型以下：

在这个系统里有两个物体，它们的质量分别是m1和m2，被两个弹簧链接在一块儿，伸缩系统为k1和k2，左端固定。假定没有外力时，两个弹簧的长度为L1和L2。
因为两物体有重力，那么在平面上造成摩擦力，那么摩擦系数分别为b1和b2。因此能够把微分方程写成这样：

这是一个二阶的微分方程，为了使用python来求解，须要把它转换为一阶微分方程。因此引入下面两个变量：

这两个至关于运动的速度。经过运算能够改成这样：

这时能够线性方程改成向量数组的方式，就能够使用python定义了，代码以下：

# Use ODEINT to solve the differential equations defined by the vector field
from scipy.integrate import odeint
 
def vectorfield(w, t, p):
    """
    Defines the differential equations for the coupled spring-mass system.
    Arguments:
        w :  vector of the state variables:
                  w = [x1,y1,x2,y2]
        t :  time
        p :  vector of the parameters:
                  p = [m1,m2,k1,k2,L1,L2,b1,b2]
    """
    x1, y1, x2, y2 = w
    m1, m2, k1, k2, L1, L2, b1, b2 = p
 
    # Create f = (x1',y1',x2',y2'):
    f = [y1,
         (-b1 * y1 - k1 * (x1 - L1) + k2 * (x2 - x1 - L2)) / m1,
         y2,
         (-b2 * y2 - k2 * (x2 - x1 - L2)) / m2]
    return f
 
# Parameter values
# Masses:
m1 = 1.0
m2 = 1.5
# Spring constants
k1 = 8.0
k2 = 40.0
# Natural lengths
L1 = 0.5
L2 = 1.0
# Friction coefficients
b1 = 0.8
b2 = 0.5
 
# Initial conditions
# x1 and x2 are the initial displacements; y1 and y2 are the initial velocities
x1 = 0.5
y1 = 0.0
x2 = 2.25
y2 = 0.0
 
# ODE solver parameters
abserr = 1.0e-8
relerr = 1.0e-6
stoptime = 10.0
numpoints = 250
 
# Create the time samples for the output of the ODE solver.
# I use a large number of points, only because I want to make
# a plot of the solution that looks nice.
t = [stoptime * float(i) / (numpoints - 1) for i in range(numpoints)]
 
# Pack up the parameters and initial conditions:
p = [m1, m2, k1, k2, L1, L2, b1, b2]
w0 = [x1, y1, x2, y2]
 
# Call the ODE solver.
wsol = odeint(vectorfield, w0, t, args=(p,),
              atol=abserr, rtol=relerr)
 
with open('two_springs.dat', 'w') as f:
    # Print & save the solution.
    for t1, w1 in zip(t, wsol):        
        out = '{0} {1} {2} {3} {4}\n'.format(t1, w1[0], w1[1], w1[2], w1[3]);
        print(out)
        f.write(out);

在这里把结果输出到文件two_springs.dat，接着写一个程序来把数据显示成图片，就能够发表论文了，代码以下：

# Plot the solution that was generated
 
from numpy import loadtxt
from pylab import figure, plot, xlabel, grid, hold, legend, title, savefig
from matplotlib.font_manager import FontProperties
 
t, x1, xy, x2, y2 = loadtxt('two_springs.dat', unpack=True)
 
figure(1, figsize=(6, 4.5))
 
xlabel('t')
grid(True)
lw = 1
 
plot(t, x1, 'b', linewidth=lw)
plot(t, x2, 'g', linewidth=lw)
 
legend((r'$x_1$', r'$x_2$'), prop=FontProperties(size=16))
title('Mass Displacements for the\nCoupled Spring-Mass System')
savefig('two_springs.png', dpi=100)

最后来查看一下输出的png图片以下：